HiPC 2023 Technical Program

30th IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, & ANALYTICS

2023 Program at a glance

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(Access online proceedings click here)

  

 

Monday, Dec 18, 2023 – Day 1

 

EduHiPC Workshop

Digital Agriculture Workshop

HPC and AI on Arm Workshop

Student Research Symposium

 

 

Tuesday, Dec 19, 2023 – Day 2

 

HiPC 2023 Inauguration and Opening Remarks (8:00-8:30) 

 

Keynote Address: (8:30-9:30)

Lizy Kurian John, University of Texas at Austin, USA

Title: For ML and With ML: The New Normal in System Design 

Session Chair: Laxmikant Kale

 

Technical Session 1: High Performance Computing – Architecture (10:00-12:00)

Session Chair: Kishore K.

“DNA-TEQ: An Adaptive Exponential Quantization of Tensors for DNN Inference” 

Bahareh Khabbazan (Universitat Politécnica de Catalunya (UPC)), Marc Riera (Universitat Politécnica de Catalunya (UPC)), Antonio González (Universitat Politécnica de Catalunya (UPC))

 

“PARAG: PIM Architecture for Real-time Acceleration of GCNs”

Gian Singh (Arizona State University), Sanmukh Kuppannagari (Case Western Reserve University), Sarma Vrudhula (Arizona State University)

 

“Hybrid CUDA Unified Memory Management in Fully Homomorphic Encryption Workloads”

Jake Choi (Seoul National University), Jaejin Lee (Cryptolab), Heonyoung Yeom (Seoul National University)

 

“Mobile Gaming Experience: An Approach based on Thread Scheduler & Thread Priority Manager”

Jani Basha Shaik (Samsung R&D Institute India), Sandani Shaik (Samsung R&D Institute India), Nazrinbanu Nagori (Samsung R&D Institute India), Veerendra K Shetty (Samsung R&D Institute India)

 

“Optimized All-to-all Connection Establishment for High-Performance MPI Libraries over InifiniBand” 

Shulei Xu (The Ohio State University), Goutham Kuncham (The Ohio State University), Mustafa Abduljabbar (The Ohio State University), Hari Subramoni (The Ohio State University), Dhabaleswar K. Panda (The Ohio State University)

 

“MOSAIC : A Multi-Objective Optimization Framework for Sustainable Datacenter Management”

Sirui Qi (Colorado State University), Dejan Milojicic (Hewlett Packard Labs), Cullen Bash (Hewlett Packard Labs), Sudeep Pasricha (Colorado State University)

 

“A 118 GOPS/mm^2 3D eDRAM TensorCore Architecture for Large-scale Matrix Multiplication” 

Mengtian Yang (The University of Texas at Austin), Yipeng Wang (The University of Texas at Austin), Jaydeep Kulkarni (The University of Texas at Austin)

 

Technical Session 2: Data Science – Scalable Algorithms and Analytics (13:30-15:30)

Session Chair: Sathish Vadhiyar

“Contour Algorithm for Connected Components” 

Zhihui Du (New Jersey Institute of Technology), Oliver Alvarado Rodriguez (New Jersey Institute of Technology), Fuhuan Li (New Jersey Institute of Technology), Mohammad Dindoost (New Jersey Institute of Technology), David Bader (New Jersey Institute of Technology)

 

“CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism” 

Henk Dreuning (University of Amsterdam, Vrije Universiteit Amsterdam), Kees Verstoep (Vrije Universiteit Amsterdam), Henri E. Bal (Vrije Universiteit Amsterdam), Rob V. van Nieuwpoort (Netherlands eScience Center, University of Amsterdam)

 

“MiCRO: Near-Zero Cost Gradient Sparsification for Scaling and Accelerating Distributed DNN Training” 

Daegun Yoon (Ajou University), Sangyoon Oh (Ajou University)

 

“Patterns of Model Evolution in Network Architecture Search”   

Robert Underwood (Argonne National Laboratory), Meghana Madhyastha (John Hopkins University), Randal Burns (John Hopkins University), Bogdan Nicolae (Argonne National Laboratory)

     

“Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference” 

Jinghan Yao (The Ohio State University), Nawras Alnaasan (The Ohio State University), Tian Chen (The Ohio State University), Aamir Shafi (The Ohio State University), Hari Subramoni (The Ohio State University), Dhabaleswar K. (DK) Panda (The Ohio State University)

 

“Characterization and Detection of Artifacts for Error-controlled Lossy Compressors”

Pu Jiao (University of Kentucky), Sheng Di (Argonne National Laboratory), Jinyang Liu (University of California, Riverside), Xin Liang (University of Kentucky), Franck Cappello (Argonne National Laboratory)

 

“Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators” 

Prashanthi S.K. (Indian Institute of Science), Vinayaka Hegde (Indian Institute of Science), Keerthana Patchava (Indian Institute of Science), Ankita Das (Indian Institute of Science), Yogesh Simmhan (Indian Institute of Science)

 

Conference Poster Lightning Talks (16:00-18:00)

Session Chair: Yogesh Simmhan

 

“CWIN: A new windowing technique for detecting concept drift in data streams”

Ranjan Bhat (Manipal Institute of Technology), Sharanya Prabhu (Manipal Institute of Technology), Neelima Bayyapu (Manipal Institute of Technology)

 

“Migration of CUDA based Seismic Application to Cross-platform SYCL Implementation”

Sandeep Agrawal (C-DAC Pune), Abhishek Shrivastava (C-DAC Pune), Richa Rastogi (C-DAC Pune), Jyotsna Khemka (Intel), Vinutha SV (Intel), Om Jadhav (C-DAC Pune), Sanjay Wandhekar (C-DAC Pune)

 

“Online Performance Visualization of Parallel Applications”

Sagnik Dey (Purdue University), Preeti Malakar (Indian Institute of Technology Kanpur)

 

“Shared and Distributed Memory based Parallel Reservoir Echo State Network for Classification of Multivariate Time Series”

Basab Bijoy Purkayastha (Indian Institute of Technology Guwahati) , Shovan Barma (Indian Institute of Technology Guwahati)

 

“Analysis of MPI Communication Time for Distribution of Repartitioned Data”

Ke Fan (University of Illinois Chicago), Sidharth Kumar (University of Illinois Chicago), John-Paul Robinson (University of Alabama at Birmingham)

 

Industry Birds-of-a-Feather Session – Fujitsu (16:00-18:00) 

NSF Indo-US Workshop (16:00 – 20:00)

Sponsor Lightning Talks (18:00-19:00) 

Students Research Symposium (SRS) (10.00 – 19:30)

Industry Exhibits (10.00 – 17:50)

 

Wednesday, Dec 20, 2023 – Day 3

 

Keynote Address: (8:30-9:30)

Sunita Sarawagi, Indian Institute of Technology Bombay, India

Title: Modern AI for Analyzing Large Structured Databases: Opportunities and Challenges

Session Chair: Viktor Prasanna

 

Technical Session 3: Data Science – Scalable Systems and Software (10:00-12:00)

Session Chair: Preeti M.

 

“SECRE: Surrogate-based Error-controlled Lossy Compression Ratio Estimation Framework” 

Arham Khan (University of Chicago), Sheng Di (Argonne National Laboratory), Kai Zhao (Florida State University), Jinyang Liu (University of California Riverside), Kyle Chard (University of Chicago), Ian Foster (Argonne National Laboratory), Franck Cappello (Argonne National Laboratory)

 

“Fast Algorithms  for Scientific Data  Compression”  

Tania Banerjee (University of Florida), Jaemoon Lee (University of Florida), Jong Choi (Oak Ridge National Laboratory), Qian Gong (Oak Ridge National Laboratory), Jieyang Chen (University of Alabama at Birmingham), Scott Klasky (Oak Ridge National Laboratory), Anand Rangarajan (University of Florida), Sanjay Ranka (University of Florida)

 

“CAPIO: a Middleware for Transparent I/O  Streaming in Data-Intensive Workflows” 

Alberto Riccardo Martinelli (University of Turin), Massimo Torquati (University of Pisa), Iacopo Colonnelli (University of Turin), Barbara Cantalupo (University of Turin), Marco Aldinucci (University of Turin)

 

“JASS: A Tunable Checkpointing System for NVM-based Systems”

Akshin Singh (IIT Delhi), Smruti R. Sarangi (IIT Delhi)

 

“Multi-Streamed Metadata-Integrity Verification For Cloud Migration In Deduplication Systems” 

Shashank Khobragade (Dell Technologies), Santi Gopal Mondal (Dell Technologies), Kalyan Gunda (Dell Technologies)

 

“CPU-GPU Tuning to Improve Scientific Applications run on Heterogeneous Nodes” 

Vivek Kale (Sandia National Laboratories), Mathialakan Thavappiragasam (Argonne National Laboratories)

 

“DDIOSim: A Microarchitecture Simulator for Data Direct I/O Technology”

Hari Sharan (Indian Institute of Technology Bombay), Mythili Vutukuru (Indian Institute of Technology Bombay), Biswabandan Panda (Indian Institute of Technology Bombay)

 

“FPGA Accelerated Bi-Cubic Convolution for Image Interpolation”

Ankit Choudhary (National Remote Sensing Centre), S. K. Vaibhav Kodavati (National Remote Sensing Centre), Mythili B (National Remote Sensing Centre), Anjaneyulu R V G (National Remote Sensing Centre), Manju Sarma (National Remote Sensing Centre)

 

Technical Session 4: Best Paper Nominees (13:30-15:30)

Session Chair: Yogesh Simmhan

 

“DeltaSPARSE: High-Performance Sparse General Matrix-Matrix Multiplication on Multi-GPU Systems” 

Shuai Yang (Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Changyou Zhang (Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Ji Ma (Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences)

 

“Strategies for Fast I/O Throughput in Large-scale Climate Modeling Applications” 

Koushik Sen (Qualcomm), Sathish Vadhiyar (Indian Institute of Science), Vinayachandran PN (Indian Institute of Science)

 

“ME-ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers” 

Kyle Marino (University of Southern California), Pengmiao Zhang (University of Southern California), Viktor K. Prasanna (University of Southern California)

 

“Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing” 

Vinícius Dias (Universidade Federal de Lavras), Samuel Ferraz (Universidade Federal de Mato Grosso do Sul, Universidade Federal de Minas Gerais), Aditya Vadlamani (Ohio State University), Mahdi Erfanian (Ohio State University), Carlos H. C. Teixeira (Universidade Federal de Minas Gerais), Dorgival Guedes (Universidade Federal de Minas Gerais), Wagner Meira Jr. (Universidade Federal de Minas Gerais), Srinivasan Parthasarathy (Ohio State University)

 

“Accelerating Time to Science using CRADLE: A Framework for Materials Data Science”

Arafath Nihar (Case Western Reserve University), Thomas Ciardi (Case Western Reserve University), Rounak Chawla (Case Western Reserve University), Olatunde Akanbi (Case Western Reserve University), Yingui Wu (Case Western Reserve University), Vipin Chaudhary (Case Western Reserve University), Roger French (Case Western Reserve University)

 

“Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering”

Kevin Assogba (Rochester Institute of Technology), Bogdan Nicolae (Argonne National Laboratory), M. Mustafa Rafique (Rochester Institute of Technology)

 

Industry Keynote – Fujitsu (16:00-17:00)

Priyanka Sharma, Director – Software Engineering, MONAKA Software R&D Unit, Fujitsu Research of India Pvt Limited (FRIPL)

Title: High Performance and Energy Efficient Processor for Next Generation Data Centres: FUJITSU – MONAKA 

 

Industry Keynote – Infosys (17:30-18:30)

Vittal Shetty – Product Line Manager, Infosys 

Title: Addressing Exponential Scale Problems using Quantum Computers 

 

Students Research Symposium (SRS) (10.00 – 19:30)

Industry Exhibits (10.00 – 17:50)

 

Thursday, Dec 21, 2023 – Day 4

 

Keynote Address: (8:30-9:30)

Manish Parashar, University of Utah, USA

Title: Computing Everywhere, All at Once: Harnessing the Computing Continuum for Science

Session Chair: David Bader

 

Technical Session 5: High Performance Computing – Systems (10:00-12:00)

Session Chair: Smruti Sarangi

 

“Towards Efficient I/O Pipelines using Accumulated Compression” 

Avinash Maurya (Rochester Institute of Technology), Bogdan Nicolae (Argonne National Laboratory), M. Mustafa Rafique (Rochester Institute of Technology), Franck Cappello (Argonne National Laboratory)

 

“Quartermaster: A Reinforcement-Learning, Resource-Recommendation System for Cloud HPC” 

Jan-Harm Betting (Erasmus MC), Christos Strydis (Erasmus MC)

 

“TOOL – Programming Model and Parallel Runtime for Optimization Problems” 

Zainul Abideen Sayed (University at Buffalo), Jaroslaw Zola (University at Buffalo)

 

“Data Locality Aware Computation Offloading in Near Memory Processing Architecture for Big Data Applications” 

Satanu Maity (IIIT Guwahati), Mayank Goel (IIIT Guwahati), Manojit Ghose (IIIT Guwahati)

 

“Benesh: Choreographic Coordination for In-situ Workflows” 

Philip E. Davis (University of Utah, Rutgers University), Jacob Merson (Rensselaer Polytechnic Institute), Pradeep Subedi (Samsung Semiconductor Inc.), Lee Ricketson (Lawrence Livermore National Laboratory), Cameron W. Smith (Rensselaer Polytechnic Institute), Mark S. Shephard (Rensselaer Polytechnic Institute), Manish Parashar (University of Utah)

 

“Profit Maximization using Colloborative Storage Management in Multi-tier Cloud System” 

Shubhradeep Roy (IIT Guwahati), Suvarthi Sarkar (IIT Guwahati), Aryabartta Sahu (IIT Guwahati)

 

“Towards Efficient I/O Performance of NVM File Systems” 

Jiwoo Bang (Seoul National University), Chungyong Kim (Seoul National University)

 

Technical Session 6: High Performance Computing – Algorithms and Applications (13:30-15:30)

Session Chair: Venkat C.

 

“Fast Parallel Tensor Times Same Vector for Hypergraphs” 

Shruti Shivakumar (Georgia Institute of Technology), Ilya Amburg (Pacific Northwest National Laboratory), Sinan Aksoy (Pacific Northwest National Laboratory), Jiajia Li (North Carolina State University), Stephen Young (Pacific Northwest National Laboratory), Srinivas Aluru (Georgia Institute of Technology)

 

“Reduce, Reuse and Adapt — Accelerating Graph Processing on GPUs” 

Ullas A (IISc, Bangalore), R. Govindarajan (IISc, Bangalore), Rupesh Nasre (IIT, Madras)

 

“Reduce Computational Complexity for Convolutional Layers by Skipping Zeros” 

Zhiyi Zhang (HFIPS (Hefei Institutes of Physical Science, Chinese Academy of Sciences); USTC (University of Science and Technology of China)), Pengfei Zhang (HFIPS (Hefei Institutes of Physical Science, Chinese Academy of Sciences)), Zhuopin Xu (HFIPS (Hefei Institutes of Physical Science, Chinese Academy of Sciences)), Qi Wang (HFIPS (Hefei Institutes of Physical Science, Chinese Academy of Sciences))

 

“SpikeNC: An Accurate and Scalable Simulator for Spiking Neural Network on Multi-Core Neuromorphic Hardware”

Lisheng Xie (Brain-Inspired Application Technology Center (BATC), School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China), Jianwei Xue (Brain-Inspired Application Technology Center (BATC), School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China), Liangshun Wu (Brain-Inspired Application Technology Center (BATC), School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China), Faquan Chen (Brain-Inspired Application Technology Center (BATC), School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China), Qingyang Tian (Brain-Inspired Application Technology Center (BATC), School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China), Yifan Zhou (Brain-Inspired Application Technology Center (BATC), School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China), Rendong Ying (Brain-Inspired Application Technology Center (BATC), School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China), Peilin Liu (Brain-Inspired Application Technology Center (BATC), School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China)

 

“DAGit : A Platform For Enabling Serverless Applications”

Anubhav Jana (IIT Bombay), Purushottam Kulkarni (IIT Bombay), Umesh Bellur (IIT Bombay)

 

“Efficient GPU Implementation of Automatic Differentiation for Computational Fluid Dynamics”

Mohammad Zubair (Old Dominion University), Desh Ranjan (Old Dominion University), Aaron Walden (NASA Langley Research Center), Gabriel Nastac (NASA Langley Research Center), Eric Nielsen (NASA Langley Research Center), Boris Diskin (National Institute of Aerospace), Marc Paterno (Fermi National Accelerator Laboratory), Samuel Jung (Northwestern University), Joshua Hoke (University of Maryland)

 

“A Lossless Compression Pipeline for Petabyte-scale Whole Genome Sequencing Data” 

Sai Manasa Chadalavada (Vantage Research Pvt. Ltd, Chennai, India; Indian Institute of Science), Ajeya B S (Indian Institute of Science), Nagakishore Jammula (Synopsys Inc., Mountain View, CA, USA), Chirag Jain (Indian Institute of Science), Yogesh Simmhan (Indian Institute of Science)

 

Industry Birds-of-a-Feather Session – Gold Sponsors (16:00-19:00) 

Industry Exhibits (10.00 – 16:00)

SRS Lightning Talks (16:00-17:30)

Closing and Awards Ceremony, Banquet (19:00-22:00)